Function:
Form:
Elegance:
How do I best communicate the data?
Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods. (1984)
Additional Papers in 1985, 1987
Buja et al. (2009) Statistical inference for exploratory data analysis and model diagnostics
Hofmann et al. (2012) Graphical Tests for the Power of Competing Designs
Majumder et al. (2013) Validation of Visual Statistical Inference, Applied to Linear Models
How the mapping between data and graphical features affects the hierarchy of graphical perception and feature recognition.
4
Perception is optimized for three dimensions.
Our brains sometimes inappropriately apply 3d heuristics to 2d images, producing optical illusions.
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From: Signs of the Sine Illusion: Why we need to care (JCGS, 2015)
\((f \circ T)(x) = a + (b-a)\left(\int_{a}^x |f^\prime(z)| dz\right)/\left(\int_{a}^{b}|f^\prime(z)| dz\right)\) \((f \circ T_w)(x) = (1-w) \cdot x + w \cdot (f \circ T)(x)\)
From: Signs of the Sine Illusion: Why we need to care (JCGS, 2015)
\(l_{new}(x_0) = l_{old} \sqrt{1 + f^\prime(x_0)^2}\) \(l_{new_w}(x) = (1-w) \cdot l_{old} + w \cdot l_{new}(x)\)
Visualization is an important tool for working with big data
Adaptations must be made:
BUT…
Web-based interactive graphics may be even more size-sensitive than static graphics.
Associate genetic features with phenotypic traits Disease resistance, yield, nutritional content, time to maturity
Above all, need an interface to allow people to pull new discoveries from the data systematically.
Function:
Form:
Elegance:
How do I best communicate the data?
Goal: Understand which features are most visually important.
Goal: Understand which features are most visually important.
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Conclusion: Lineups are an inductive classification task using graphics; performance is not seriously impacted by spatial ability (outside of general aptitude).
Goal: Understand which features are most visually important.
Goal: Understand which features are most visually important.